Finally, our task extends textual entailment (TE) in two ways.
First, as well as asking if text \(T\)  entails hypothesis \(H\) ,
we wish to know which part(s) of \(T\)  entail \(H\) . Second,
ours is the first dataset containing multistep entailment trees,
in contrast to earlier TE datasets where typically a single
sentence entails \(H\)  through (typically) paraphrasing [1]}, [2]}, [3]}.
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